TRAINING A MACHINE LEARNING SYSTEM FOR TRANSACTION DATA PROCESSING

A method of training a supervised machine learning system to detect anomalies within transaction data is described. The method includes obtaining a training set of data samples; assigning a label indicating an absence of an anomaly to unlabelled data samples in the training set; partitioning the dat...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	SUTTON, DAVID, PEREZ, IKER, BARNS-GRAHAM, ALEC, WONG, KENNY
Format:	Patent
Sprache:	eng ; fre
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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